By M. A. Akivis, V. V. Goldberg, Richard A. Silverman

Trans. by way of Richard A. Silverman

The authors commence with linear areas, beginning with uncomplicated innovations and finishing with issues in analytic geometry. They then deal with multilinear varieties and tensors (linear and bilinear varieties, basic definition of a tensor, algebraic operations on tensors, symmetric and antisymmetric tensors, etc.), and linear transformation (again easy techniques, the matrix and multiplication of linear ameliorations, inverse variations and matrices, teams and subgroups, etc.). The final bankruptcy bargains with extra subject matters within the box: eigenvectors and eigenvalues, matrix ploynomials and the Hamilton-Cayley theorem, aid of a quadratic shape to canonical shape, illustration of a nonsingular transformation, and extra. each one person part — there are 25 in all — includes a challenge set, creating a overall of over 250 difficulties, all conscientiously chosen and paired. tricks and solutions to many of the difficulties are available on the finish of the book.

Dr. Silverman has revised the textual content and diverse pedagogical and mathematical advancements, and restyled the language in order that it really is much more readable. With its transparent exposition, many suitable and fascinating difficulties, plentiful illustrations, index and bibliography, this ebook might be valuable within the school room or for self-study as an exceptional advent to the $64000 matters of linear algebra and tensors.

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**Additional info for An Introduction to Linear Algebra and Tensors**

**Sample text**

I PROBLEMS 1. Is the function (p{x, y, z , . . , w) = c (c a fixed real number) a multilinear form? 2. Let *i, y 2 and z x be the first components of the vectors x , y and z relative to some basis in the space Ln. Is the function

a multilinear form defined on the space C[

In the second case, the transformation formulas are of the form e r = e t cos 0 + e 2 sin 0 , er = e x sin 6 — e 2 cos 0 , so that r becomes cos 0 sin 0 sin 0 —cos 6 t with determinant —1 . 2. Consider- any spatial vector x. , a force, velocity, acceleration, or electric field intensity. This “real” object does not depend on the coordinate system in which it is considered, and hence any operations or calculations directly involving vectors must always have a physical interpretation. However, together with direct calculations on vectors, a great role is played in geometry and its applications by the coordinate (or component) method, whose use permits us to study geometrical objects indi rectly, by well-developed methods of both algebra (in analytic geometry) and analysis (in differential geometry).

E„. What choice of a new basis in Ln makes the components of the vector x equal to 0 , 0 , . . , | x | ? 7. Let ei, e2, . . , e„ be a basis in the s p a c e a n d let Lk be a nontrivial subspace of L„ of dimension k. Prove that Lk can be specified as the set of all vectors x g Ln whose components x i9 x 2, . . , xn relative to the basis et, e2, . . , e„ satisfy a system of equations of the form a ijXj = (/ = 1 0 , 2 ,. , m < n). In the space of all polynomials of degree not exceeding «,t write the matrix of the transformation from the basis 1 to the basis 1 , t — a, .